Ontology-based model of law retrieval system for R&D projects

Wooju Kim, Youna Lee, Donghe Kim, Minjae Won, Haemin Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Research and development projects have close relationship with laws. In some cases, new technologies resulted from R&D projects can't be used because some statutes restrict them. The reason of this problem is that researchers don't know exactly which laws can affect their R&D projects. To solve the issue, we suggest a model for law retrieval system that can be used by researchers of R&D projects to find related statutes. Input of this model is a query document that describes the main contents of a project. By using ontology, legal terms are extracted from the document and statutes defining them are retrieved as a set of related laws. After this searching process, statutes are provided to researchers with their ranks, which are assigned using relevance scores we developed. By using this model, we can make a system for researchers to search a list of statutes that may affect R&D projects, and finally, they can adjust their project's direction by checking the list, preventing their works from being useless.

Original languageEnglish
Title of host publicationProceedings of the 18th Annual International Conference on Electronic Commerce
Subtitle of host publicatione-Commerce in Smart connected World, ICEC 2016
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450342223
Publication statusPublished - 2016 Aug 17
Event18th International Conference on Electronic Commerce, ICEC 2016 - Suwon, Korea, Republic of
Duration: 2016 Aug 172016 Aug 19

Publication series

NameACM International Conference Proceeding Series


Other18th International Conference on Electronic Commerce, ICEC 2016
Country/TerritoryKorea, Republic of

Bibliographical note

Publisher Copyright:
Copyright is held by the owner/author(s).

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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